exametrika: Test Theory Analysis and Biclustering

Implements comprehensive test data engineering methods as described in Shojima (2022, ISBN:978-9811699856). Provides statistical techniques for engineering and processing test data: Classical Test Theory (CTT) with reliability coefficients for continuous ability assessment; Item Response Theory (IRT) including Rasch, 2PL, and 3PL models with item/test information functions; Latent Class Analysis (LCA) for nominal clustering; Latent Rank Analysis (LRA) for ordinal clustering with automatic determination of cluster numbers; Biclustering methods including infinite relational models for simultaneous clustering of examinees and items without predefined cluster numbers; and Bayesian Network Models (BNM) for visualizing inter-item dependencies. Features local dependence analysis through LRA and biclustering, parameter estimation, dimensionality assessment, and network structure visualization for educational, psychological, and social science research.

Getting started

Package details

AuthorKoji Kosugi [aut, cre] (ORCID: <https://orcid.org/0000-0001-5816-0099>)
MaintainerKoji Kosugi <kosugitti@gmail.com>
LicenseMIT + file LICENSE
Version1.6.0
URL https://kosugitti.github.io/exametrika/
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("exametrika")

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exametrika documentation built on Aug. 21, 2025, 5:27 p.m.